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This paper presents the IndoorLoc Platform, a public repository for comparing and evaluating indoor positioning algorithms and sharing datasets. The proposed web platform can be used to download datasets, learn how some well-known algorithms work, study the implementation of those algorithms, test the methods, and even upload indoor positioning estimations of the user's methods to check the accuracy when comparing against the results provided by other methods already included in a ranking, among other functionalities. This paper also presents a comparative study of the accuracy of two well-known fingerprinting-based indoor localization algorithms using the datasets included in the platform. This comparative study can be performed using the tools included in the platform.
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Montoliu et al. (2017) studied this question.